Time Series

Pattern Recognition

Identify recurring patterns and motifs in time series data

360K runs

Note: This playground provides simulated output to showcase functionality. No input data is processed or stored on our servers. Use this demo to explore the feature extractor's capabilities before integrating it into your application.

Input

Text Input string

Enter the text you want to process

# pattern_types array

Types of patterns to detect. Default: cyclic,seasonal,trend

# min_pattern_length number

Minimum length of pattern to detect. Default: 3

Output

{
  "patterns": [
    {
      "type": "daily_cycle",
      "start_time": "09:00:00",
      "end_time": "17:00:00",
      "frequency": "daily",
      "confidence": 0.92
    },
    {
      "type": "weekly_cycle",
      "day_of_week": "Monday",
      "amplitude": 1.5,
      "confidence": 0.88
    }
  ],
  "pattern_types": [
    "cyclic",
    "seasonal",
    "trend"
  ],
  "dominant_frequencies": [
    24,
    168
  ]
}